Senior Data Scientist / GenAI

Project overview

As part of the development of new Artificial Intelligence use cases.

We are looking for a Data Scientist who will work on innovative projects aimed at designing and developing algorithmic solutions adapted to clients' business challenges. They will contribute to identifying needs, developing and validating AI models, as well as sharing knowledge and innovations within the teams.

Particular attention will be paid to Machine Learning and Generative AI approaches (LLM, RAG, GraphRAG, ontologies), taking into account the constraints related to data sensitivity.

Your missions:

Profile sought

Development and Data Science

Generative Artificial Intelligence

Industrialization / MLOps / DevOps

• Understanding needs and scoping
• Lead and participate in ideation workshops with clients.
• Identify business needs and understand data-related challenges.
• Propose tailor-made algorithmic solutions adapted to identified use cases.
• Quickly analyze available data to assess its potential and usability.
• Design and development of AI models
• Identify the most relevant AI models and approaches based on the problems encountered.
• Design, develop, test, and validate Machine Learning and Generative AI models.
• Develop solutions based in particular on LLMs, RAG, GraphRAG, and ontologies.
• Develop and test applications associated with artificial intelligence solutions.
• Consider data security and sensitivity constraints.
• Industrialization and MLOps
• Work on the MLOps lifecycle of models.
• Participate in the industrialization and deployment of developed solutions.
• Contribute to the implementation and use of CI/CD pipelines.
• Ensure the quality, maintainability, and traceability of developments.
• Documentation and knowledge sharing
• Document models, methods, tools, and results obtained.
• Share innovations and feedback with the CortAIx Factory teams.
• Communicate on project results and contribute to the team's skill development.
• Python: very good command essential.
• Machine Learning and mastery of associated key frameworks.
• Data analysis and exploration.
• Design, development, and validation of AI models.
• Large Language Models (LLM).
• Retrieval-Augmented Generation (RAG).
• GraphRAG.
• Ontologies.
• MLOps and model lifecycle management.
• GitLab and GitLab CI.
• SonarQube.
• Docker.
• CI/CD.
• Mastery of IDEs and development tools.

Project details

• Start: ASAP
• Duration: 1 an renouvelable
• Remote: hybrid
• Location: Île-de-France, France, FR
• Languages: French